CN111626038A - Prompting method, device, equipment and storage medium for reciting text - Google Patents

Prompting method, device, equipment and storage medium for reciting text Download PDF

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Publication number
CN111626038A
CN111626038A CN201910022585.XA CN201910022585A CN111626038A CN 111626038 A CN111626038 A CN 111626038A CN 201910022585 A CN201910022585 A CN 201910022585A CN 111626038 A CN111626038 A CN 111626038A
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text
compared
user
standard
recited
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Chinese (zh)
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不公告发明人
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Beijing ByteDance Network Technology Co Ltd
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Beijing ByteDance Network Technology Co Ltd
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Priority to CN201910022585.XA priority Critical patent/CN111626038A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition
    • G06V30/14Image acquisition
    • G06V30/148Segmentation of character regions
    • G06V30/153Segmentation of character regions using recognition of characters or words
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10Character recognition

Abstract

The embodiment of the disclosure discloses a prompting method, a prompting device, prompting equipment and a storage medium for reciting texts. The method comprises the following steps: performing character recognition on the text to be recited to obtain a standard text; performing voice recognition on the content recited by the user to obtain a text to be compared; and comparing the text to be compared with the standard text, and generating prompt information according to a comparison result so as to prompt a user. The prompting method for reciting the text compares the text recognized by voice with the text recognized by characters, generates prompting information according to the comparison result to prompt a user, realizes that the user prompts the user when reciting the text with errors or the text is stuck, does not need to manually look up standard text for comparison, and can save reciting time of the user.

Description

Prompting method, device, equipment and storage medium for reciting text
Technical Field
The embodiment of the disclosure relates to the technical field of word processing, in particular to a prompting method, a prompting device, prompting equipment and a storage medium for reciting texts.
Background
In daily life, the user, when reciting a section of text, if meet the condition of the card shell, needs the user to look over the card shell portion in the original text again so that reciting continues, or after reciting is completed, the user looks over the original text by himself to check whether reciting the text is wrong or not. If the text is long, the user needs to spend time to check the original text, which is inconvenient and wastes time.
Disclosure of Invention
The disclosure provides a prompting method, a prompting device, equipment and a storage medium for reciting texts, so that when a user recites text contents wrongly or a card shell appears, the user is prompted, and the reciting time of the user can be saved.
In a first aspect, an embodiment of the present disclosure provides a prompting method for reciting text, including:
performing character recognition on the text to be recited to obtain a standard text;
performing voice recognition on the content recited by the user to obtain a text to be compared;
and comparing the text to be compared with the standard text, and generating prompt information according to a comparison result so as to prompt a user.
Further, performing character recognition on the text to be recited to obtain a standard text, including:
scanning a text to be recited;
and performing character recognition on the text to be recited by adopting an Optical Character Recognition (OCR) technology to obtain a standard text.
Further, comparing the text to be compared with the standard text, including:
acquiring a part of text to be compared from the ending character of the last prompting text or the first character after the last prompting text to the character recited by the current user;
searching a part of standard texts corresponding to the part of texts to be compared in the standard texts;
and comparing the part of standard text with the part of text to be compared.
Further, generating prompt information according to the comparison result, including:
and if the number of the erroneous characters in the part of characters to be compared exceeds a set threshold value, generating prompt information.
Further, still include:
judging whether the last character of the text to be compared is the last character of the standard text;
if not, and the voice information of the user is not recognized within the set time, acquiring a set number of characters behind the corresponding part of the text to be compared in the standard text;
and pushing the set number of characters to a user to prompt the user.
Further, speech recognition is carried out on the content recited by the user to obtain a text to be compared, and the method comprises the following steps:
collecting reciting voice input by a user;
performing semantic recognition on the recitation speech to obtain semantic information;
and converting the semantic information into a text to be compared.
Further, the prompt message includes the error words and the correct words corresponding to the error words.
In a second aspect, the disclosed embodiments also provide a prompting device for reciting text, the device comprising:
the standard text acquisition module is used for performing character recognition on the text to be recited to acquire a standard text;
the to-be-compared text acquisition module is used for carrying out voice recognition on the content recited by the user to acquire a to-be-compared text;
and the prompt information generation module is used for comparing the text to be compared with the standard text and generating prompt information according to a comparison result so as to prompt a user.
In a third aspect, an embodiment of the present disclosure further provides an electronic device, where the electronic device includes:
one or more processing devices;
storage means for storing one or more programs;
when executed by the one or more processing devices, the one or more programs cause the one or more processing devices to implement the method for prompting reciting text as described in embodiments of the invention.
In a fourth aspect, the disclosed embodiment also provides a computer readable medium, on which a computer program is stored, wherein the program, when executed by a processing device, implements a prompting method for reciting text according to an embodiment of the present invention.
According to the text comparison method and device, firstly, character recognition is conducted on the text to be recited to obtain the standard text, then voice recognition is conducted on the content recited by the user to obtain the text to be compared, finally the text to be compared is compared with the standard text, and prompt information is generated according to the comparison result to prompt the user. The prompting method for reciting the text compares the text recognized by voice with the text recognized by characters, generates prompting information according to the comparison result to prompt a user, realizes that the user prompts the user when reciting the text with errors or the text is stuck, does not need to manually look up standard text for comparison, and can save reciting time of the user.
Drawings
FIG. 1 is a flow chart of a method for reciting text prompts in one embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a text reciting prompting device in the second embodiment of the disclosure;
fig. 3 is a schematic structural diagram of an electronic device in a third embodiment of the disclosure.
Detailed Description
The present disclosure is described in further detail below with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the disclosure and are not limiting of the disclosure. It should be further noted that, for the convenience of description, only some of the structures relevant to the present disclosure are shown in the drawings, not all of them.
In the following embodiments, optional features and examples are provided in each embodiment, and various features described in the embodiments may be combined to form a plurality of alternatives, and each numbered embodiment should not be regarded as only one technical solution.
Example one
Fig. 1 is a flowchart of a method for prompting reciting text according to an embodiment of the present disclosure, where the present embodiment is applicable to a situation where a user prompts the user when reciting text, and the method may be executed by a text reciting prompting device, which may be composed of hardware and/or software, and may be generally integrated into an apparatus having a text reciting prompting function, where the apparatus may be an electronic device such as a server, a mobile terminal, or a server cluster. As shown in fig. 1, the method specifically includes the following steps:
and step 110, performing character recognition on the text to be recited to obtain a standard text.
The text to be recited can be printed text, namely, the text which is printed on paper by adopting a printing technology and is displayed in a certain standard font, and the text to be recited can be an ancient poem, a prose section, an article and the like which need to be recited by a user. The standard font can be a font commonly used for printing, such as a Song style, a regular style, a black style and the like. In this embodiment, an Optical Character Recognition (OCR) technology may be adopted to recognize the reciting text.
Optionally, performing character recognition on the text to be recited to obtain the standard text, and implementing the method by the following steps: scanning a text to be recited; and performing character recognition on the text to be recited by adopting an OCR technology to obtain a standard text.
Wherein, electronic equipment such as a scanner or a digital camera can be adopted to scan the text to be recited printed on the paper. The principle of OCR technology can be that the text to be recited is scanned to obtain characters, the shape of the characters is determined by detecting dark and light modes, and then the shape is translated into computer characters by a character recognition method; that is, for the print characters, the characters in the paper text are converted into the image file of black and white dot matrix in an optical mode, and the characters in the image are converted into the text format through the recognition software.
Specifically, a scanner is used for scanning a text to be recited of a printed body to obtain characters on paper, then the shapes of the characters are determined by detecting dark and light modes, and finally the shapes are translated into computer characters, namely standard texts, by a character recognition method.
And step 120, performing voice recognition on the content recited by the user to obtain a text to be compared.
In this embodiment, the process of performing speech recognition on the content recited by the user to obtain the text to be compared may be to collect the recitation speech input by the user, perform semantic recognition on the recitation speech to obtain semantic information, and convert the semantic information into the text to be compared.
Specifically, electronic equipment such as a microphone is adopted to collect recitation voice of a user, sound waves corresponding to the recitation voice are obtained, then frame division processing is carried out on the sound waves, multi-frame sound waves are obtained, acoustic feature extraction is carried out on the multi-frame sound waves respectively, words corresponding to each frame of sound waves are obtained, namely semantic information corresponding to each frame of sound waves is obtained, and then the semantic information is converted into computer text, namely the text to be compared. The process of recognizing the sound wave frames as the corresponding words may be that the sound wave frames are recognized as states first, then the states are combined into phonemes, and finally the phonemes are combined into words.
In this embodiment, speech recognition is performed on the reciting content to obtain the text to be compared, and the existing speech recognition technology can be adopted, which is not described herein again.
And step 130, comparing the text to be compared with the standard text, and generating prompt information according to a comparison result so as to prompt a user.
The text to be compared can be the text converted from the whole content of the text to be recited by the user or the text converted from the part content of the text to be recited by the user. If the text to be compared is the text converted from all the contents of the text to be recited by the user, performing word-by-word comparison on the text to be compared and all the contents of the standard text, judging whether the text to be compared has the condition of wrong words or missing words, and prompting the user if the text to be compared has the condition of wrong words or missing words. If no wrong or missing character appears, the user is prompted to recite the completion and recite the correctness. If the text to be compared is a text converted from partial content of the text to be recited by the user, firstly, obtaining a partial text corresponding to the text to be compared in the standard text, comparing the text to be compared with the partial text word by word, judging whether the text to be compared has wrong characters or missing characters, and if so, prompting the user.
Optionally, if the text to be compared is a text converted from a part of the content of the text to be recited by the user, comparing the text to be compared with the standard text may be performed in the following manner: acquiring a part of text to be compared from the ending character of the last prompting text or the first character after the last prompting text to the character recited by the current user; searching a part of standard texts corresponding to a part of texts to be compared in the standard texts; and comparing part of the standard text with part of the text to be compared.
Wherein, the prompt text is the text output by the machine. The partial text to be compared may be a text with a number of words exceeding a certain number, that is, after the number of words reaches a certain number from the last prompted word to the word recited by the current user, the text is determined as the partial text to be compared, wherein the certain number may be any value between 10 and 20. The manner of searching for a part of standard text corresponding to a part of text to be compared in the standard text may be to add a mark to a character of the last reminder in the standard text or to scan the entire standard text. For example, the user reads that the natural materials are useful and the thousand-golden pieces are scattered again last time, the machine prompts the text of "cook sheep and kill cattle and be happy", then part of the text to be compared starts from the word "happy" in "cook sheep and kill cattle and be happy" or starts from the next word of "happy", namely, the word "meeting" that three hundred cups of meat should be drunk "starts.
Specifically, after a part of texts to be compared and a corresponding part of standard texts are obtained, the part of standard texts and the part of texts to be compared are compared word by word to judge whether the situations of wrong words or missed words occur.
Optionally, the prompt information is generated according to the comparison result, and the method can be implemented in the following manner: and if the number of the erroneous characters in the part of the texts to be compared exceeds a set threshold value, generating prompt information.
The error characters comprise error characters or missing characters. Wherein the set threshold may be set to a value between 5-10. In this embodiment, if the number of erroneous characters in a part of texts to be compared does not exceed the set threshold, the next part of texts to be compared is continuously obtained, the next part of texts to be compared is compared with the next part of standard texts, the erroneous characters and the number of the erroneous characters are obtained and accumulated with the number of the erroneous characters at present, and a prompt message is generated until the accumulated number of the erroneous characters exceeds the set threshold. The prompt message comprises error characters and correct characters corresponding to the error characters. In this embodiment, when the user finishes reciting the text to be recited, and the error characters do not exceed the set threshold, prompt information is generated according to the error characters.
Optionally, the method further comprises the following steps: judging whether the last character of the text to be compared is the last character of the standard text; if not, and the voice information of the user is not recognized within the set time, acquiring a set number of characters behind the corresponding part of the text to be compared in the standard text; and pushing the set number of characters to the user to prompt the user.
Wherein the set time may be set to any time between 5-10 seconds. The set number may be a value between 5-10. In this embodiment, if the last word of the text to be compared is not the last word of the standard text, it indicates that the user has not completed reciting currently, and at this time, if the voice information input by the user is not recognized within the set time, it indicates that the user forgets the following content, a set number of words after the corresponding portion of the text to be compared in the standard text are obtained, and the set number of words are pushed to the user to prompt the user, so that the user continues reciting under the prompt. For example, the set time is set to 5 seconds, the set number is set to 7, and assuming that the user is reciting the Libai's wine to go ahead, when the user recits that "natural I am must be available and thousand jin has been exhausted again", the voice input by the user is not collected within 5 seconds, which indicates that the user forgets what follows when reciting here, the "thousand jin has been exhausted again" cooked sheep cow and happy "is pushed to the user, so as to play a role of prompting the user.
According to the technical scheme, firstly, character recognition is carried out on the text to be recited to obtain the standard text, then voice recognition is carried out on the content recited by the user to obtain the text to be compared, finally, the text to be compared is compared with the standard text, and prompt information is generated according to the comparison result to prompt the user. The prompting method for reciting the text compares the text recognized by voice with the text recognized by characters, generates prompting information according to the comparison result to prompt a user, realizes that the user prompts the user when reciting the text with errors or the text is stuck, does not need to manually look up standard text for comparison, and can save reciting time of the user.
Example two
Fig. 2 is a schematic structural diagram of a text reciting prompting device according to a second embodiment of the present disclosure. As shown in fig. 2, the apparatus includes: a standard text acquisition module 210, a to-be-compared text acquisition module 220 and a prompt message generation module 230.
The standard text acquisition module 210 is configured to perform character recognition on the text to be recited to obtain a standard text;
the to-be-compared text acquisition module 220 is configured to perform voice recognition on the content recited by the user to obtain a to-be-compared text;
and the prompt information generating module 230 is configured to compare the text to be compared with the standard text, and generate prompt information according to the comparison result to prompt the user.
Optionally, the standard text obtaining module 210 is further configured to:
scanning a text to be recited;
and performing character recognition on the text to be recited by adopting an Optical Character Recognition (OCR) technology to obtain a standard text.
Optionally, the prompt information generating module 230 is further configured to:
acquiring a part of text to be compared from the ending character of the last prompting text or the first character after the last prompting text to the character recited by the current user; wherein the prompt text is a text output by the machine;
searching a part of standard texts corresponding to a part of texts to be compared in the standard texts;
and comparing part of the standard text with part of the text to be compared.
Optionally, the prompt information generating module 230 is further configured to:
and if the number of the erroneous characters in the part of the texts to be compared exceeds a set threshold value, generating prompt information.
Optionally, the method further includes:
the reciting completion judging module is used for judging whether the last character of the text to be compared is the last character of the standard text;
the character acquisition module is used for acquiring the characters of the set number behind the corresponding part of the text to be compared in the standard text when the last character of the text to be compared is not the last character of the standard text and the voice information of the user is not recognized within the set time;
and the prompting module is used for pushing the set number of characters to the user so as to prompt the user.
Optionally, the to-be-compared text obtaining module 220 is further configured to:
collecting reciting voice input by a user;
performing semantic recognition on the recitation voice to obtain semantic information;
and converting the semantic information into a text to be compared.
Optionally, the prompt message includes an error text and a correct text corresponding to the error text.
The device can execute the methods provided by all the embodiments of the disclosure, and has corresponding functional modules and beneficial effects for executing the methods. For technical details that are not described in detail in this embodiment, reference may be made to the methods provided in all the foregoing embodiments of the disclosure.
EXAMPLE III
Referring now to FIG. 3, a block diagram of an electronic device 300 suitable for use in implementing embodiments of the present disclosure is shown. The electronic device in the embodiments of the present disclosure may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a fixed terminal such as a digital TV, a desktop computer, and the like, or various forms of servers such as a stand-alone server or a server cluster. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 3, electronic device 300 may include a processing means (e.g., central processing unit, graphics processor, etc.) 301 that may perform various appropriate actions and processes in accordance with a program stored in a read-only memory device (ROM)302 or a program loaded from a storage device 305 into a random access memory device (RAM) 303. In the RAM 303, various programs and data necessary for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
Generally, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 308 including, for example, magnetic tape, hard disk, etc.; and a communication device 309. The communication means 309 may allow the electronic device 300 to communicate wirelessly or by wire with other devices to exchange data. While fig. 3 illustrates an electronic device 300 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program containing program code for performing a method of prompting recitation of text. In such an embodiment, the computer program may be downloaded and installed from a network through the communication means 309, or installed from the storage means 305, or installed from the ROM 302. The computer program, when executed by the processing device 301, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory device (RAM), a read-only memory device (ROM), an erasable programmable read-only memory device (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory device (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the processing device, cause the electronic device to: performing character recognition on the text to be recited to obtain a standard text; performing voice recognition on the content recited by the user to obtain a text to be compared; and comparing the text to be compared with the standard text, and generating prompt information according to the comparison result so as to prompt the user.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of a module does not in some cases constitute a limitation on the module itself, for example, the retrieval module may also be described as a "recitation of text to a prompting module".
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present disclosure and the technical principles employed. Those skilled in the art will appreciate that the present disclosure is not limited to the particular embodiments described herein, and that various obvious changes, adaptations, and substitutions are possible, without departing from the scope of the present disclosure. Therefore, although the present disclosure has been described in greater detail with reference to the above embodiments, the present disclosure is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present disclosure, the scope of which is determined by the scope of the appended claims.

Claims (10)

1. A method for prompting reciting text, comprising:
performing character recognition on the text to be recited to obtain a standard text;
performing voice recognition on the content recited by the user to obtain a text to be compared;
and comparing the text to be compared with the standard text, and generating prompt information according to a comparison result so as to prompt a user.
2. The method of claim 1, wherein performing word recognition on the text to be recited to obtain standard text comprises:
scanning a text to be recited;
and performing character recognition on the text to be recited by adopting an Optical Character Recognition (OCR) technology to obtain a standard text.
3. The method of claim 1, wherein comparing the text to be compared with the standard text comprises:
acquiring a part of text to be compared from the ending character of the last prompting text or the first character after the last prompting text to the character recited by the current user; wherein the prompt text is a text output by the machine;
searching a part of standard texts corresponding to the part of texts to be compared in the standard texts;
and comparing the part of standard text with the part of text to be compared.
4. The method of claim 3, wherein generating the prompt message according to the comparison result comprises:
and if the number of the erroneous characters in the partial text to be compared exceeds a set threshold value, generating prompt information.
5. The method of claim 1, further comprising:
judging whether the last character of the text to be compared is the last character of the standard text;
if not, and the voice information of the user is not recognized within the set time, acquiring a set number of characters behind the corresponding part of the text to be compared in the standard text;
and pushing the set number of characters to a user to prompt the user.
6. The method of claim 1, wherein performing speech recognition on the user recited content to obtain text to be compared comprises:
collecting reciting voice input by a user; performing semantic recognition on the recitation speech to obtain semantic information;
and converting the semantic information into a text to be compared.
7. The method according to any one of claims 1-6, wherein the prompt message includes an error text and a correct text corresponding to the error text.
8. A prompting device for reciting text, comprising:
the standard text acquisition module is used for performing character recognition on the text to be recited to acquire a standard text;
the to-be-compared text acquisition module is used for carrying out voice recognition on the content recited by the user to acquire a to-be-compared text;
and the prompt information generation module is used for comparing the text to be compared with the standard text and generating prompt information according to a comparison result so as to prompt a user.
9. An electronic device, characterized in that the electronic device comprises:
one or more processing devices;
storage means for storing one or more programs;
when executed by the one or more processing devices, cause the one or more processing devices to implement the recited text prompting method of any of claims 1-7.
10. A computer-readable medium, on which a computer program is stored which, when executed by processing means, carries out the method of prompting to recite a text as claimed in any one of claims 1 to 7.
CN201910022585.XA 2019-01-10 2019-01-10 Prompting method, device, equipment and storage medium for reciting text Pending CN111626038A (en)

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CN112735402A (en) * 2020-12-14 2021-04-30 厦门盈趣科技股份有限公司 Memorandum device and method
CN113053175A (en) * 2021-03-11 2021-06-29 读书郎教育科技有限公司 System and method for assisting recitation of scanning pen
CN113421463A (en) * 2021-06-15 2021-09-21 读书郎教育科技有限公司 System and method for assisting in reciting lessons
CN113808590A (en) * 2021-07-27 2021-12-17 深圳市星范儿文化科技有限公司 Recitation processing method and device based on intelligent reading kiosk and readable storage medium

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